Merve Gorguner

Dr. Merve Gorguner


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
MGMerve Gorguner
Merve Gorguner
LKLevent Kavvas
Levent Kavvas



1 January 2015 in Resources, Conservation and Recycling
Verified
Journal Article
Closed access
MGMerve Gorguner
Merve Gorguner
AAAyşegül Aksoy
Ayşegül Aksoy
FSF. Dilek Sanin
F. Dilek Sanin

18 May 2017
Verified
Conference Paper
Closed access
MGMerve Gorguner
Merve Gorguner
KIKei Ishida
Kei Ishida
LKLevent Kavvas
Levent Kavvas
This study performs dynamical downscaling simulations using a regional atmospheric model, WRF (the weather research and forecasting model), over the Gediz Basin at 6 km grid resolution in order to investigate changes in temperature and precipitation during the 21st century under two IPCC representative concentration pathway scenarios (RCP4.5 and RCP8.5). The global climate models (GCMs) used in this study are HadGEM2-ES and GFDL-ESM2M. Bias correction was applied for precipitation on a monthly basis by comparing the dynamically-downscaled precipitation obtained from the historical simulations of each GCM to the corresponding observed data. Historical temperature and precipitation data (1985–2005) were then compared to the temperature and precipitation projections (2017–2099). In addition, trends in annual projected temperature and precipitation were also analyzed.

3 November 2025 in Geoscientific Model Development
Verified
Journal Article
Open access
PDF file
AMAlison J. McLaren
Alison J. McLaren
LSLouise C. Sime
Louise C. Sime
SWSimon Wilson
Simon Wilson
JRJeff Ridley
Jeff Ridley
QGQinggang Gao
Qinggang Gao
PVPaul Valdes
Paul Valdes
There is an increasing need to understand how water is cycled and transported within the atmosphere, to aid water management. Here, atmospheric water tracers are added to the Met Office Unified Model (UM) to allow tracking of water within the model. This requires the implementation of water tracers in the following parts of the model code: large-scale advection, surface evaporation, boundary layer mixing, large-scale precipitation (microphysics), large-scale clouds, stochastic physics, and convection. A single water tracer is found to track all water in the model to a high degree of accuracy during a 35 year simulation; the differences are typically less than 10−16 kg kg−1 at the end of every time step, prior to a very small adjustment to prevent the build up of numerical error. The increase in computing time for each water tracer is between 3.1 % and 3.8 %, depending on the model resolution. The model development is tested by using the water tracers to find the sources of precipitation in a historical UM simulation. As expected, the majority of precipitation is found to be sourced directly from the ocean, with the recycling of water over land becoming increasingly important downwind across continents. The UM results for the mean evaporative source properties of precipitation are comparable to those of the ECHAM6 atmospheric model, with some interesting local differences over Antarctica, Greenland, and the Indian monsoon region. Finally, global model hydrological fluxes are derived from the water tracers to show the amount of precipitation sourced from the land and ocean separately, illustrating the additional information that can be provided from the new development.